code: def get_all_broadcast_binary_operators():
      """Gets all binary broadcast operators registered with MXNet.
  
      Returns
      -------
      {"operator_name": {"has_backward", "nd_op_handle", "params"}}
      """
      # Get all mxnet operators
      mx_operators = _get_all_mxnet_operators()
  
      # Filter for binary broadcast operators
      binary_broadcast_mx_operators = {}
      for op_name, op_params in mx_operators.items():
          if (
              op_name.startswith("broadcast_")
              and op_params["params"]["narg"] == 2
              and "lhs" in op_params["params"]["arg_names"]
              and "rhs" in op_params["params"]["arg_names"]
          ):
              binary_broadcast_mx_operators[op_name] = mx_operators[
                  op_name
              ]
      return binary_broadcast_mx_operators
  
imports: from operator import itemgetter
  from mxnet import runtime
  import mxnet
  from benchmark.opperf.rules.default_params import DEFAULTS_INPUTS, DEFAULTS_INPUTS_LARGE_TENSOR, MX_OP_MODULE
label_desc: Use image node_id 7 for calling a global function with example usage: get_all_broadcast_binary_operators() and returns: binary_broadcast_mx_operators